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Ligeng Zhu — most-cited papers & profile · AI for Code
← authors
·
overview
Ligeng Zhu
14
papers ·
0
citations
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Semantic Scholar ↗
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Most-cited papers
Scaling RL to Long Videos
2025
Perceive, Interact, Reason: Building Tool-Augmented Visual Agents for Spatial Reasoning
2026
Sol Video Inference Engine: Agent-Native Full-Stack Acceleration Framework for Efficient Video Generation
2026
Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding
2026
Perceive, Interact, Reason: Building Tool-Augmented Visual Agents for Spatial Reasoning
2026
Jet-RL: Enabling On-Policy FP8 Reinforcement Learning with Unified Training and Rollout Precision Flow
2026
Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding
2025
SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity
2025
OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM
2025
PockEngine: Sparse and Efficient Fine-tuning in a Pocket
2023
VILA^2: VILA Augmented VILA
2024
LongVILA: Scaling Long-Context Visual Language Models for Long Videos
2024
COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training
2024
Top co-authors
Abhinav Garg
· 1
Ante Jukić
· 1
Chengyue Wu
· 1
Chenhan Yu
· 1
Daniel Egert
· 1
Enze Xie
· 1
Jan Kautz
· 1
Jindong Jiang
· 1
Jingyu Liu
· 1
Jin Wang
· 1
Lexington Whalen
· 1
Maksim Khadkevich
· 1
Topics
Efficiency
Training Techniques
Model Architecture
Vision-Language
Fine-Tuning
Tool Use
Multi-Agent
Model-Based RL
Policy Gradient
Value-Based